On Least Squares Weighted Recursive Estimation of Clock Skew and Offset in Wireless Sensor Networks

作     者：HU Bing SUN Zhixin 

作者机构：Key Laboratory of Broadband Wireless Communication and Sensor Network TechnologyMinistry of EducationNanjing University of Posts and Telecommunications 

出 版 物：《Chinese Journal of Electronics》 (电子学报(英文))

年 卷 期：2017年第26卷第5期

页      面：1041-1047页

核心收录：

学科分类：0808[工学-电气工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 080202[工学-机械电子工程] 0804[工学-仪器科学与技术] 080402[工学-测试计量技术及仪器] 0802[工学-机械工程] 0701[理学-数学] 

基　　金：supported by the National Natural Science Foundation of China(No.61373135,No.61672299) the Research Project of Jiangsu Province(No.BY2013011) the Natural Science Foundation of Jiangsu Province of China(No.BK20140883) 

主　　题：Clock synchronization Wireless sensor networks(WSNs) Pairwise broadcast synchronization(PBS) Least squares estimator(LS) 

摘      要：Three clock synchronization algorithms for Wireless sensor networks(WSNs) in Pairwise broadcast synchronization(PBS) mechanism are derived.They include the joint Least squares estimator(LS),joint Least squares weighted estimator(LSW) and joint Least squares weighted Recursive estimator(R-LSW).For these estimators,the corresponding algorithms are derived and described by assuming a Gaussian random delay model.Unlike PBS,these estimators can achieve the Cramer-Rao lower bound(CRLB) for both listening node and active node without knowledge of the deterministic delay.The purpose of considering R-LSW is to reduce the use of storage space with the method of estimating while observing.Simulation and analytical results verify that the estimators are efficient.